Staff Data Scientist

San Francisco, CA, United StatesFull-time$212k2026-10-07 → 2026-11-10

Hybrid

Core

Technical lead defining analytics vision, building scientific frameworks, and pioneering AI-accelerated analytics for Ripple's crypto and financial products.

Role type

Staff Data Scientist (Technical Lead)

Builds

Reusable analytics frameworks, causal inference playbooks, liquidity/adoption models, and AI-driven insight generation tools.

Domain

FinTech, Crypto, Blockchain, Payments

Deliverable

production ML models

Required skills

Technical leadership, Causal inference, Forecasting, Statistical modeling, Experimentation, Python, SQL, Large-scale data tech

Preferred skills

FinTech/Payments/Crypto experience, AI/LLM application, Advanced degree (MS/PhD)

Technologies

Python, R, SQL, Databricks, Airflow

Responsibilities

Define analytics strategy and methodological standards, Build scalable scientific frameworks, Pioneer AI-accelerated analytics workflows, Drive evidence-based evaluation of growth, Define executive-level metrics, Mentor data scientists across teams

Seniority

Staff, Technical Lead & Mentorship

About Ripple

Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.